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When Content Loses Context, It Loses Value

Media and publishing teams get AI-enabled discovery that preserves meaning, rights and editorial trust across every platform and audience.

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Media and Publishing

Fragmented Content and Weak Metadata Are Worth Less Than You Think

Media and publishing organizations manage growing volumes of text, video, audio, images and archives while serving audiences across more channels and devices. The challenge isn’t scale, it’s fragmentation. When metadata is inconsistent and content relationships are weak, discovery suffers, reuse slows, rights get risky and monetization opportunities quietly disappear.

The Progress Data Platform helps media and publishing teams connect content, apply richer meaning and support AI-driven discovery and personalization, without losing editorial control or rights governance.

Data stored in media management platforms grew to 324 petabytes in 2025, expanding 56% from the previous year

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Why Companies Trust the Progress
Data Platform

Proof That Content Teams Create More Value with Connected Context

Media & EntertainmentCustomer Stories
Media & Entertainment, Publishing
Leading Canadian News Agency Leverages the Progress Semaphore Solution to Increase Content Discoverability, Enhancing the Customer Experience
  • Richer metadata driving improved discovery and new revenue opportunities
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Validated by the Experts, Leading with Outcomes

Progress Named Exemplary in the 2026
ISG Buyers Guide for Data Platform
Progress Data Platform Ranked #1 and Named a Champion in Metadata Management
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Who This Is For

Chief Content Officer thumb

You need content to be easier to find, reuse and activate across brands and channels.

Connected Content Intelligence

Chief Content Officers oversee the strategic value of content across brands, formats and distribution channels, and their biggest challenge is often not content creation, but content activation. Archives sit in disconnected systems, metadata quality varies across properties and content that should be generating revenue or engagement is effectively invisible because it cannot be found, classified or cleared for reuse efficiently. A connected data platform makes content more discoverable, better connected through semantic relationships and easier to package for new audiences and revenue models. The result is that existing content libraries become strategic assets again, without requiring additional manual effort from teams that are already operating at capacity.

Editorial & Product Leader thumb

You need better discovery and recommendations without putting editorial trust at risk.

Shared Metadata & Context

Editorial and product leaders need content discovery and recommendations that are relevant, timely and editorially sound. When the underlying content relationships and metadata are weak, AI-powered recommendations surface irrelevant results or miss important connections entirely, eroding editorial confidence in automated workflows. Manual curation fills the gap but does not scale. A semantic content layer strengthens the relationships between topics, entities and audience signals so that discovery and personalization deliver results that editorial teams can trust, without requiring manual tagging of every asset or ceding editorial judgment to an algorithm that lacks domain understanding.

Audience & Revenue Leader Thumb

You need stronger personalization, better content performance and more relevant monetization.

Trusted Audience & Catalog Context

Audience and revenue leaders are measured on engagement, retention and the ability to monetize content across channels and licensing models. Personalization and monetization, however, are only as strong as the context behind them. When content metadata is inconsistent and audience behavior signals are disconnected from catalog relationships, recommendations feel generic, licensing opportunities are harder to identify and syndication decisions rely on guesswork, rather than data. A platform that connects content meaning, audience context and rights governance enables more relevant personalization, more precise licensing and stronger monetization outcomes across every channel.

Chief Data & Technology Leader Thumb

You need platform that can connect content systems, archives and metadata at scale.

Multi-Model Data Foundation

Chief data and technology leaders in media and publishing are responsible for integrating content systems, archives, metadata repositories and rights databases that were never designed to work together. Every new AI initiative requires data that is difficult to access, in various formats that are laborious to interpret and under governance rules that are unwieldy to enforce at scale. A unified data platform connects these systems, applies consistent semantic meaning across content and metadata and provides AI with the structured context it needs to deliver useful, rights-aware results. This approach avoids the disruption of a full platform migration while giving content, editorial and revenue teams a shared foundation they can build on.

What Media and Publishing Teams Can Do with the Progress Data Platform

Find What Matters Manual Work Deliver Experiences Turn the Archive

Help Audiences Find What Matters, Faster

Give users, editors and customers the right content across formats and archives, without waiting on manual tagging to catch up.

How It Works

Enriches content with shared meaning and relationships so search and discovery work better across the entire catalog.

Explore

A leading Canadian news agency reports richer metadata improved search experience and product value

Scale Metadata Without Scaling Manual Work

Reduce manual tagging effort while improving consistency across content operations, rights and classifications.

How It Works

Supports stronger metadata, classification and connected content relationships across archives and CMS platforms.

Explore

Publishers report meaningful gains in content reuse and monetization after semantic enrichment

Deliver Experiences Audiences Come Back For

Give audiences faster, more relevant and more engaging experiences across every device they show up on.

How It Works

Connects catalogs, behavior signals and content relationships into a usable structure for AI and search.

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NBCUniversal handled 50,000 requests per minute at peak and 100 million views in three months

Turn the Archive Back into an Asset

Make older content easier to surface, package and monetize across syndication, licensing and product workflows.

How It Works

Supports richer relationships between content, topics, rights and audience needs in a unified, queryable layer.

Explore

Springer generates 95% of online revenue through its content platform

How the Progress Data Platform Delivers for Media & Publishing

The Progress Data Platform helps media and publishing organizations connect scattered content, apply shared meaning and support AI-driven discovery with stronger governance. It works across structured and unstructured information, makes content easier to search and reuse, and gives AI the context layer it needs for recommendations, retrieval and workflow support.

Multi-Model Data Foundation

Unifies content, metadata and rights information across formats

Semantic Context
Engine

Enriches content with consistent taxonomy and entity recognition

Business Rules & Governance

Enforces rights, licensing and editorial governance

Build Your Expertise

Transforming Publishing with Trusted Data SOLUTION
 
Transforming Publishing with Trusted Data
Thieme Publishing Group Case Study
 
Thieme Publishing Group
Conde Nast Digital Asset Management at Scale Case Study
 
Conde Nast: Digital Asset Management at Scale
Progress Publishers Day Event
 
Progress Publishers Day

FAQs

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Protect and Extend the Value of
Your Content

Talk with a Progress specialist about the discovery, metadata or audience experience challenge you want to solve, and how to turn your content back into an asset.

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